Publications

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K
Kominis, F., and Geffner, H., Beliefs in Multiagent Planning: From One Agent to Many, Proc. ICAPS 2015, 2015.
Kumar, S., Jiménez, S., Py, F., Khemani, D., and Rajan, K., Optimizing Hidden Markov Models for Ocean Feature Detection, Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, May 18-20, 2011, Palm Beach, Florida, {USA}, 2011.
L
Lee, K., Ognibene, D., Chang, H., Kim, T. K., and Demiris, Y., STARE: Spatio-Temporal Attention RElocation for Multiple Structured Activities Detection., IEEE transactions on image processing: a publication of the IEEE Signal Processing Society, 2015.
Lipovetzky, N., Ramírez, M., and Geffner, H., C3: Planning with consistent causal chains, Int. Planning Competition Booklet (IPC-6), 2008.
Lipovetzky, N., Ramírez, M., Muise, C., and Geffner, H., Width and inference based planners: SIW, BFS (f), and PROBE, Proceedings of the 8th International Planning Competition (IPC-2014), 2014.
Lipovetzky, N., and Geffner, H., Searching for plans with carefully designed probes, Proc. of Int. Conf. Automated Planning and Scheduling (ICAPS-11), Freiburg, Germany: 2011. Paper ICAPS 2011 (269.36 KB)
Lipovetzky, N., and Geffner, H., Searching with probes: The classical planner probe, The 2011 International Planning Competition, vol. 30, 2011, p. 71.
Lipovetzky, N., and Geffner, H., A Polynomial Planning Algorithm that Beats LAMA and FF, Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS'17), 2017.
Lipovetzky, N., and Geffner, H., Best-first Width Search: Exploration and Exploitation in Classical Planning, Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), 2017.
Lipovetzky, N., Muise, C., and Geffner, H., Traps, Invariants, and Dead-ends, Proc. 26th Int. Joint Conf. on Artificial Intelligence, 2016.
Lipovetzky, N., Ramírez, M., and Geffner, H., Classical Planning with Simulators: Results on the Atari Video Games, Proc. IJCAI 2015, 2015.
Lipovetzky, N., Ramírez, M., and Geffner, H., Classical Planning Algorithms on the Atari Video Games, Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.
Lipovetzky, N., and Geffner, H., Width and Serialization of Classical Planning Problems., ECAI, 2012, pp. 540–545.
Lipovetzky, N., and Geffner, H., Width-based algorithms for classical planning: New results, Heuristics and Search for Domain Independent Planning, vol. 16, 2014, p. 88.
Liu, T., Lugosi, G., Neu, G., and Tao, D., Algorithmic stability and hypothesis complexity, Proceedings of the 34th International Conference on Machine Learning (ICML), 2017, pp. 2159-2167.
Llera, A., Gómez, V., and Kappen, H. J., Adaptive Multiclass Classification for Brain Computer Interfaces, Neural computation, vol. 26, 2014, pp. 1108–1127.
Llera, A., Gómez, V., and Kappen, H. J., Quantitative analysis of task selection for brain-computer interfaces, Journal of Neural Engineering, vol. 11, 2014, p. 056002.
López, C. Linares, Jiménez, S., and Olaya, Á. García, The deterministic part of the seventh International Planning Competition, Artificial Intelligence, vol. 223, 2015, pp. 82–119.
López, C. Linares, Jiménez, S., and Helmert, M., Automating the evaluation of planning systems, {AI} Commun., vol. 26, 2013, pp. 331–354.
Lotinac, D., and Jonsson, A., Automatic Generation of HTNs from PDDL, Proceedings of the Planning and Learning (PAL) Workshop at the International Conference on Automated Planning and Scheduling (ICAPS'15), 2015, pp. 15-23.
Lotinac, D., Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Automatic Generation of High-Level State Features for Generalized Planning, Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
Lotinac, D., and Jonsson, A., Automatic Generation of HTNs from PDDL, Proceedings of the 2nd Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM'15), 2015.
Lotinac, D., and Jonsson, A., Constructing Hierarchical Task Models Using Invariance Analysis, Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI'16), 2016.

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